<!DOCTYPE html>
<html lang="en">
    <head>
        <meta charset="utf-8">
        <meta http-equiv="X-UA-Compatible" content="IE=edge">
        <meta name="viewport" content="width=device-width, initial-scale=1">
        <!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
        <title>info.debatty.jinu.Case</title>
        <link rel='stylesheet' href='https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css' integrity='sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u' crossorigin='anonymous'>
        <link rel='stylesheet' href='https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap-theme.min.css' integrity='sha384-rHyoN1iRsVXV4nD0JutlnGaslCJuC7uwjduW9SVrLvRYooPp2bWYgmgJQIXwl/Sp' crossorigin='anonymous'>
        <!-- HTML5 shim and Respond.js for IE8 support of HTML5 elements and media queries -->
        <!-- WARNING: Respond.js doesn't work if you view the page via file:// -->
        <!--[if lt IE 9]>
          <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
          <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
        <![endif]-->
    </head>
    <body>
        <div class='container'>
            <h1>info.debatty.jinu.Case</h1>
            <p>2017-06-28 20:14:30</p>

            <h2>Case details</h2>
            <p>Test case: info.debatty.jinu.Case</p>
            <p>Version: 4035460645206145470</p>
            <p>Iterations: 10</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.Synthetic.ClaransTest@52066604</li>
                                    <li>spark.kmedoids.eval.Synthetic.HeuristicTest@373ebf74</li>
                                    <li>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest@5f9678e1</li>
                            </ul>

            <p>Classpath:</p>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100113-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>10782.718290810411</td>
                                                <td>12726</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>11981.136879118114</td>
                                                <td>12182</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>10331.361653881926</td>
                                                <td>10553</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>11271.92567468185</td>
                                                <td>12212</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>12098.880187645214</td>
                                                <td>11738</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>11189.33471701576</td>
                                                <td>12021</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>11474.34507980772</td>
                                                <td>12054</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>12536.02429652519</td>
                                                <td>12219</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>10555.770549197703</td>
                                                <td>12449</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>10.0</td>
                                                    <td>12015.029396239552</td>
                                                <td>12215</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>11882.253760916847</td>
                                                <td>21084</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>12456.009577966146</td>
                                                <td>21660</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>11214.753924154058</td>
                                                <td>22500</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>12155.33739575385</td>
                                                <td>20572</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>12578.949008260199</td>
                                                <td>22078</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>11862.64111010322</td>
                                                <td>21846</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>11115.254446323923</td>
                                                <td>21803</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>11399.201708167242</td>
                                                <td>20808</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>11882.748409247615</td>
                                                <td>20500</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>20.0</td>
                                                    <td>11484.533340450584</td>
                                                <td>20872</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>12241.169677793743</td>
                                                <td>12148</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>10008.502353211834</td>
                                                <td>12514</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>9337.22926967742</td>
                                                <td>10429</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>12311.232097708504</td>
                                                <td>12366</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>11283.825085581255</td>
                                                <td>11812</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>10314.432526424032</td>
                                                <td>11882</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>9847.793979845126</td>
                                                <td>11886</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>11486.176418163694</td>
                                                <td>10409</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>11869.315209827082</td>
                                                <td>12250</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>10.0</td>
                                                    <td>11529.710575585988</td>
                                                <td>12167</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>11837.316193141545</td>
                                                <td>20757</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>13424.08088744853</td>
                                                <td>22087</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>11993.451409733541</td>
                                                <td>20693</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>11970.432172284876</td>
                                                <td>20524</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>12659.573855381317</td>
                                                <td>22382</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>11217.610701498012</td>
                                                <td>22435</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>11925.1233365519</td>
                                                <td>22267</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>11293.847342057878</td>
                                                <td>20675</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>11529.266565385882</td>
                                                <td>22166</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>20.0</td>
                                                    <td>12036.096654230758</td>
                                                <td>20726</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>11290.866090416646</td>
                                                <td>30455</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>12193.913972459985</td>
                                                <td>32503</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>11595.859084248743</td>
                                                <td>31250</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>12926.358121381996</td>
                                                <td>31687</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>12187.022187088289</td>
                                                <td>31693</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>11282.178846956973</td>
                                                <td>30481</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>11851.980132160907</td>
                                                <td>31783</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>12518.380884159005</td>
                                                <td>30974</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>10406.73422154892</td>
                                                <td>30921</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>12391.61896947699</td>
                                                <td>31353</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>12068.443843444633</td>
                                                <td>31691</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>11535.141827205307</td>
                                                <td>30812</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>13470.924863602766</td>
                                                <td>31475</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>12210.414649784185</td>
                                                <td>31214</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>11892.131931646292</td>
                                                <td>32415</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>12512.605239363606</td>
                                                <td>30462</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>11517.575471880686</td>
                                                <td>31305</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>12523.016945448315</td>
                                                <td>31065</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>12439.103721664113</td>
                                                <td>31309</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>12997.87829564049</td>
                                                <td>30357</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>12145.959557522314</td>
                                                <td>11578</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>11675.818008306313</td>
                                                <td>12545</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>10541.187092448952</td>
                                                <td>10394</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>11874.157918268025</td>
                                                <td>12251</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>11946.903195749863</td>
                                                <td>12044</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>10392.637993906828</td>
                                                <td>12396</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>10698.769873994795</td>
                                                <td>11921</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>11876.960271980099</td>
                                                <td>12563</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>12368.255745199915</td>
                                                <td>10412</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>10.0</td>
                                                    <td>12630.446563736934</td>
                                                <td>10420</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>11689.621176259203</td>
                                                <td>21874</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>12031.083064957216</td>
                                                <td>22522</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>11414.924935262115</td>
                                                <td>20677</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>11844.501623989845</td>
                                                <td>20985</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>11074.165521654562</td>
                                                <td>22433</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>11698.957249052546</td>
                                                <td>21876</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>12638.244603503765</td>
                                                <td>22544</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>11432.461001595191</td>
                                                <td>21741</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>12215.181146751329</td>
                                                <td>22044</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>20.0</td>
                                                    <td>11230.72815464939</td>
                                                <td>22522</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>11531.177455574485</td>
                                                <td>32549</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>11591.348633161262</td>
                                                <td>31959</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>12475.871801819863</td>
                                                <td>31062</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>10956.614926560167</td>
                                                <td>30751</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>12424.787541544181</td>
                                                <td>31611</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>12586.309897246041</td>
                                                <td>32296</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>11466.106240914689</td>
                                                <td>31690</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>11118.460493558552</td>
                                                <td>32007</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>12062.07613931407</td>
                                                <td>30783</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>11408.855434400113</td>
                                                <td>30536</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>10.0</td>
                            <td>mean</td>
                                                            <td>11423.652672492342</td>
                                                        <td>12036.9</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>10.0</td>
                            <td>std dev</td>
                                                            <td>729.644474641686</td>
                                                        <td>582.4397822951312</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>10.0</td>
                            <td>low</td>
                                                            <td>10901.696458654067</td>
                                                        <td>11620.24767942312</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>10.0</td>
                            <td>high</td>
                                                            <td>11945.608886330618</td>
                                                        <td>12453.552320576879</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>20.0</td>
                            <td>mean</td>
                                                            <td>11803.16826813437</td>
                                                        <td>21372.300000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>20.0</td>
                            <td>std dev</td>
                                                            <td>500.2620674465182</td>
                                                        <td>692.4693414793821</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>20.0</td>
                            <td>low</td>
                                                            <td>11445.302343391335</td>
                                                        <td>20876.93727439976</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>20.0</td>
                            <td>high</td>
                                                            <td>12161.034192877405</td>
                                                        <td>21867.662725600247</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>10.0</td>
                            <td>mean</td>
                                                            <td>11022.938719381867</td>
                                                        <td>11786.3</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>10.0</td>
                            <td>std dev</td>
                                                            <td>1062.138927420897</td>
                                                        <td>753.9049527478762</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>10.0</td>
                            <td>low</td>
                                                            <td>10263.130302551042</td>
                                                        <td>11246.98888560631</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>10.0</td>
                            <td>high</td>
                                                            <td>11782.747136212693</td>
                                                        <td>12325.611114393689</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>20.0</td>
                            <td>mean</td>
                                                            <td>11988.679911771424</td>
                                                        <td>21471.2</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>20.0</td>
                            <td>std dev</td>
                                                            <td>652.2124570837075</td>
                                                        <td>846.9450723367814</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>20.0</td>
                            <td>low</td>
                                                            <td>11522.11522643649</td>
                                                        <td>20865.33199352605</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>20.0</td>
                            <td>high</td>
                                                            <td>12455.244597106357</td>
                                                        <td>22077.06800647395</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>11864.491250989846</td>
                                                        <td>31309.999999999996</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>738.6963708890055</td>
                                                        <td>634.536401197318</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>11336.05970065892</td>
                                                        <td>30856.080003313717</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>12392.922801320772</td>
                                                        <td>31763.919996686276</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>12316.723678968041</td>
                                                        <td>31210.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>614.164838982162</td>
                                                        <td>599.9067057097759</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>11877.376619997784</td>
                                                        <td>30781.352595132394</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>12756.070737938298</td>
                                                        <td>31639.647404867606</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>10.0</td>
                            <td>mean</td>
                                                            <td>11615.109622111404</td>
                                                        <td>11652.400000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>10.0</td>
                            <td>std dev</td>
                                                            <td>789.9936092131892</td>
                                                        <td>907.3278471546116</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>10.0</td>
                            <td>low</td>
                                                            <td>11049.98223808805</td>
                                                        <td>11003.336758558446</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>10.0</td>
                            <td>high</td>
                                                            <td>12180.237006134757</td>
                                                        <td>12301.463241441557</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>20.0</td>
                            <td>mean</td>
                                                            <td>11726.986847767515</td>
                                                        <td>21921.8</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>20.0</td>
                            <td>std dev</td>
                                                            <td>475.3673363625763</td>
                                                        <td>653.8827281877249</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>20.0</td>
                            <td>low</td>
                                                            <td>11386.929540827661</td>
                                                        <td>21454.040474695965</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>20.0</td>
                            <td>high</td>
                                                            <td>12067.04415470737</td>
                                                        <td>22389.559525304034</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>11762.16085640934</td>
                                                        <td>31524.400000000005</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>584.606787295077</td>
                                                        <td>702.4120664617833</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>11343.958353840477</td>
                                                        <td>31021.924677419436</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>12180.363358978204</td>
                                                        <td>32026.875322580574</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 10.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.34011535904413337</td>
                                                                            <td>0.5804279437802551</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.34011535904413337</td>
                                                                            <td>1.0</td>
                                                                            <td>0.17562583443041546</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.5804279437802551</td>
                                                                            <td>0.17562583443041546</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 20.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.4851753298248914</td>
                                                                            <td>0.7310823464415056</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.4851753298248914</td>
                                                                            <td>1.0</td>
                                                                            <td>0.32002189903499656</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.7310823464415056</td>
                                                                            <td>0.32002189903499656</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 30.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.05333484423336903</td>
                                                                            <td>0.15446167964935686</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.05333484423336903</td>
                                                                            <td>1.0</td>
                                                                            <td>0.7354048642766033</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.15446167964935686</td>
                                                                            <td>0.7354048642766033</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.Synthetic.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.Synthetic.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>
        </div>
    </body>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.4.0/Chart.min.js"></script>
    <script>
        // Common stuff
        var datasets, title;
        var dynamicColor = function() {
            var r = Math.floor(Math.random() * 255);
            var g = Math.floor(Math.random() * 255);
            var b = Math.floor(Math.random() * 255);
            return "rgb(" + r + "," + g + "," + b + ")";
        };

                datasets = [{"label":"ClaransTest","data":[{"x":10.0,"y":11423.652672492342},{"x":20.0,"y":11803.16826813437},{"x":30.0,"y":12316.723678968041}]},{"label":"SimulatedAnnealingTest","data":[{"x":10.0,"y":11615.109622111404},{"x":20.0,"y":11726.986847767515},{"x":30.0,"y":11864.491250989846}]},{"label":"HeuristicTest","data":[{"x":10.0,"y":11022.938719381867},{"x":20.0,"y":11988.679911771424},{"x":30.0,"y":11762.16085640934}]}];
        title = "20170628201430 - r0";

        $.each(datasets, function(index, dataset) {
            var color = dynamicColor();
            dataset.pointBackgroundColor = color;
            dataset.pointBorderColor = color;
            dataset.borderColor = color;
            dataset.tension = 0;

        });

        new Chart($("#chart_0"), {
            type: 'line',
            data: {
                datasets: datasets
            },
            options: {
                title: {
                    display: true,
                    text: title
                },
                scales: {
                    xAxes: [{
                        type: 'linear',
                        position: 'bottom'
                    }]
                }
            }
        });
        
        // Runtime
        datasets = [{"label":"ClaransTest","data":[{"x":10.0,"y":12036.9},{"x":20.0,"y":21372.300000000003},{"x":30.0,"y":31210.5}]},{"label":"SimulatedAnnealingTest","data":[{"x":10.0,"y":11652.400000000001},{"x":20.0,"y":21921.8},{"x":30.0,"y":31309.999999999996}]},{"label":"HeuristicTest","data":[{"x":10.0,"y":11786.3},{"x":20.0,"y":21471.2},{"x":30.0,"y":31524.400000000005}]}];
        title = "20170628201430 - time";

        $.each(datasets, function(index, dataset) {
            var color = dynamicColor();
            dataset.pointBackgroundColor = color;
            dataset.pointBorderColor = color;
            dataset.borderColor = color;
            dataset.tension = 0;

        });

        new Chart($("#chart_time"), {
            type: 'line',
            data: {
                datasets: datasets
            },
            options: {
                title: {
                    display: true,
                    text: title
                },
                scales: {
                    xAxes: [{
                        type: 'linear',
                        position: 'bottom'
                    }]
                }
            }
        });
    </script>
</html>
